CAJ | 학술논문

为了减少无线网络位置的管理开销，提出一种新的采取方向性预测的马氏链作为移动模型。在二维六边形蜂窝网络结构下，建立两个连续呼叫时间间隔内的位置更新模型。推导计算出呼叫到达和小区驻留时间分别服从泊松分布和指数分布时，移动台移动距离的最佳门限值及门限值范围内穿越K个小区边界的概率公式。并基于方向预测的概率分布给出了最优两步寻呼的改进算法策略。最后，通过数值仿真分析，表明所给出的寻呼策略比其他“基本策略”更优。
위료감소무선망락위치적관리개소，제출일충신적채취방향성예측적마씨련작위이동모형。재이유륙변형봉와망락결구하，건립량개련속호규시간간격내적위치경신모형。추도계산출호규도체화소구주류시간분별복종박송분포화지수분포시，이동태이동거리적최가문한치급문한치범위내천월K개소구변계적개솔공식。병기우방향예측적개솔분포급출료최우량보심호적개진산법책략。최후，통과수치방진분석，표명소급출적심호책략비기타“기본책략”경우。
In order to accurately calculate the cost of location management for the wireless cellular network,this paper puts forwards the predictive directional Markov chain as a mobility model based on the two-dimensional hexagon cellular structures.According to the location update model based on the two-steps paging strategy established between two consecutive arrival calls to get the optimal threshold of movement-based location management and the probability distribution of crossing the cell boundary K times on the condition that the incoming calls form a Poisson process and the MT’s cell residence time has exponential probability distribution. Then with these given probability distribution we give the optimal two-steps paging strategy.Finally,numerical results show that this strategy outperforms some well-known basic paging schemes.